Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging
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arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909791102697472 |
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| author | Shi, Shengling Sass, Jacob Wu, Jiaen Kim, Minsu Ma, Yingjie Shin, Sungho Findeisen, Rolf Braatz, Richard D. |
| author_facet | Shi, Shengling Sass, Jacob Wu, Jiaen Kim, Minsu Ma, Yingjie Shin, Sungho Findeisen, Rolf Braatz, Richard D. |
| contents | This work studies a class of optimal control problems with scalar inputs and general constraints, whose solutions follow a bang-ride pattern that always activates a constraint and enables efficient numerical computation. As a motivating example, fast battery charging leads to computationally demanding optimal control problems when detailed electrochemical models are used. Recently proposed optimization-free heuristics reduce this computational cost while producing input profiles observed in practice, following a bang-ride pattern and applying the maximum feasible input. We investigate when such heuristics satisfy necessary optimality conditions. By leveraging Pontryagin's maximum principle, we unify and formalize existing insights on the bang-ride structure and on the optimal control attaining the maximum feasible input under monotonicity. We further establish a novel connection between the structured optimal control and the external positivity of the costate dynamics. These results provide a rigorous theoretical foundation for heuristic charging strategies and explain the efficiency of optimization-free algorithms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09010 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging Shi, Shengling Sass, Jacob Wu, Jiaen Kim, Minsu Ma, Yingjie Shin, Sungho Findeisen, Rolf Braatz, Richard D. Optimization and Control Systems and Control This work studies a class of optimal control problems with scalar inputs and general constraints, whose solutions follow a bang-ride pattern that always activates a constraint and enables efficient numerical computation. As a motivating example, fast battery charging leads to computationally demanding optimal control problems when detailed electrochemical models are used. Recently proposed optimization-free heuristics reduce this computational cost while producing input profiles observed in practice, following a bang-ride pattern and applying the maximum feasible input. We investigate when such heuristics satisfy necessary optimality conditions. By leveraging Pontryagin's maximum principle, we unify and formalize existing insights on the bang-ride structure and on the optimal control attaining the maximum feasible input under monotonicity. We further establish a novel connection between the structured optimal control and the external positivity of the costate dynamics. These results provide a rigorous theoretical foundation for heuristic charging strategies and explain the efficiency of optimization-free algorithms. |
| title | Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2508.09010 |